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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 14631
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    INDEX
    Explanations

    financial and economic terms

    oai_token-act-pair · gpt-3.5-turbo

    specific statistical data or numerical comparisons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prominently
    -0.72
     Conserv
    -0.71
    ²¾
    -0.68
     limitless
    -0.66
     exqu
    -0.64
     specials
    -0.64
     routinely
    -0.63
     cart
    -0.63
     redist
    -0.62
     multip
    -0.62
    POSITIVE LOGITS
     yen
    0.69
    Ire
    0.68
    asin
    0.65
    Shares
    0.64
    elsen
    0.63
    ahime
    0.62
     Thomson
    0.62
     APPLIC
    0.62
    taboola
    0.62
     Kraken
    0.61
    Activations Density 0.405%

    No Known Activations